Manage your conda environment-based kernels inside the Jupyter Notebook.
This package defines a custom KernelSpecManager that automatically creates KernelSpecs for each conda environment. When you create a new notebook, you can choose a kernel corresponding to the environment you wish to run within. This will allow you to have different versions of python, libraries, etc. for different notebooks.
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30 Day SummaryMay 17 2026 — Jun 16 2026
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12 Month SummaryJun 16 2025 — Jun 16 2026
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